The graph represents a network of 6,732 Twitter users whose tweets in the requested range contained "market research", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Friday, 16 October 2020 at 11:31 UTC.
The requested start date was Friday, 16 October 2020 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 7,500.
The tweets in the network were tweeted over the 3-day, 1-hour, 27-minute period from Monday, 12 October 2020 at 22:26 UTC to Thursday, 15 October 2020 at 23:53 UTC.
Additional tweets that were mentioned in this data set were also collected from prior time periods. These tweets may expand the complete time period of the data.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, and a self-loop edge for each tweet that is not a "replies-to" or "mentions".
The graph is directed.
The graph's vertices were grouped by cluster using the Clauset-Newman-Moore cluster algorithm.
The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.
Author Description
Vertices : 6732
Unique Edges : 4201
Edges With Duplicates : 8056
Total Edges : 12257
Number of Edge Types : 5
Retweet : 2791
MentionsInRetweet : 3627
Tweet : 3806
Replies to : 633
Mentions : 1400
Self-Loops : 3893
Reciprocated Vertex Pair Ratio : 0.0221366698748797
Reciprocated Edge Ratio : 0.0433145009416196
Connected Components : 2495
Single-Vertex Connected Components : 1348
Maximum Vertices in a Connected Component : 158
Maximum Edges in a Connected Component : 457
Maximum Geodesic Distance (Diameter) : 14
Average Geodesic Distance : 2.813744
Graph Density : 0.000117184675898965
Modularity : 0.495224
NodeXL Version : 1.0.1.441
Data Import : The graph represents a network of 6,732 Twitter users whose tweets in the requested range contained "market research", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Friday, 16 October 2020 at 11:31 UTC.
The requested start date was Friday, 16 October 2020 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 7,500.
The tweets in the network were tweeted over the 3-day, 1-hour, 27-minute period from Monday, 12 October 2020 at 22:26 UTC to Thursday, 15 October 2020 at 23:53 UTC.
Additional tweets that were mentioned in this data set were also collected from prior time periods. These tweets may expand the complete time period of the data.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, and a self-loop edge for each tweet that is not a "replies-to" or "mentions".
Layout Algorithm : The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.
Graph Source : GraphServerTwitterSearch
Graph Term : market research
Groups : The graph's vertices were grouped by cluster using the Clauset-Newman-Moore cluster algorithm.
Edge Color : Edge Weight
Edge Width : Edge Weight
Edge Alpha : Edge Weight
Vertex Radius : Betweenness Centrality
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[1897] market,research [721] research,report [389] market,2020 [326] job,market [258] market,size [256] covid,19 [239] view,research [238] grand,view [162] 2020,global [162] research,job Top Word Pairs in Tweet in G1:
[750] market,research [510] research,report [351] market,2020 [165] covid,19 [150] 2020,global [146] industry,research [138] global,industry [134] report,till [129] till,2026 [115] market,size Top Word Pairs in Tweet in G2:
[148] ps3_4_lyfe,davwim [147] job,market [146] research,job [145] market,before [144] davwim,fair [144] before,picking [144] picking,major [143] fair,properly [143] properly,research [143] major,prevent Top Word Pairs in Tweet in G3:
[85] everestgroup,research [83] research,report [81] report,life [81] life,pensions [81] pensions,insurers [81] insurers,facing [81] facing,pressure [81] pressure,transform [80] transform,business [79] business,models Top Word Pairs in Tweet in G4:
[110] vinay,tripathi [110] tripathi,former [110] former,employee [110] employee,hansa [110] hansa,market [110] market,research [110] research,pvt [110] pvt,ltd [110] ltd,arrested [110] arrested,mumbai Top Word Pairs in Tweet in G5:
[84] wnbc,hiring [84] hiring,nbcnewyork [84] nbcnewyork,looking [84] looking,content [84] content,producer [84] producer,york [84] york,candidates [84] candidates,experience [84] experience,writer [83] kayangrum,wnbc Top Word Pairs in Tweet in G6:
[12] exclusive,lead [12] lead,generation [12] generation,service [7] stock,market [5] china,virus [4] market,research [3] president,trump [3] trump,right [3] right,china [3] virus,came Top Word Pairs in Tweet in G7:
[68] economics,phd [68] phd,candidate [58] nueconomics,economics [49] learn,more [42] research,interests [42] interests,include [28] research,interest [23] job,market [22] microeconomic,theory [18] development,economics Top Word Pairs in Tweet in G8:
[9] #market,research [9] research,report [9] report,2028 [9] 2028,key [9] key,players Top Word Pairs in Tweet in G9:
[51] heading,#nodealbrexit [51] #nodealbrexit,#baddealbrexit [51] #baddealbrexit,deal [51] deal,reduces [51] reduces,access [51] access,single [51] single,market [50] richardgcorbett,heading [50] market,rese Top Word Pairs in Tweet in G10:
[36] job,market [36] market,candidates [36] candidates,sign [36] sign,workshop [36] workshop,puffi [36] puffi,communicating [36] communicating,amazing [36] amazing,research [35] claudia_sahm,job [9] more,research Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G4:
Top Replied-To in G5:
Top Replied-To in G6:
Top Replied-To in G7:
Top Replied-To in G8:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G3:
Top Mentioned in G4:
Top Mentioned in G5:
Top Mentioned in G6:
Top Mentioned in G7:
Top Mentioned in G8:
Top Mentioned in G9:
Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
Top Tweeters in G2:
Top Tweeters in G3:
Top Tweeters in G4:
Top Tweeters in G5:
Top Tweeters in G6:
Top Tweeters in G7:
Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: